Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent). You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. We’re hiring a mid-to
Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction. Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization mod
You are comfortable working in modern cloud data warehouses with SQL to prepare data for modeling, and can collaborate effectively with data engineers on production pipelines. You have 6+ years of experience in machine learning roles building and shipping statistical or machine learning models into